The accuracy of artificial intelligence in 3D preoperative planning for total hip arthroplasty: A systematic review and meta‐analysis

<h3 dir="ltr">Purpose</h3><p dir="ltr">This systematic review and meta‐analysis compare AI‐assisted 3‐dimensional (3D) preoperative planning in total hip arthroplasty (THA) to traditional 2‐dimensional (2D) templating.</p><h3 dir="ltr">Meth...

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Main Author: Seif B. Altahtamouni (22155577) (author)
Other Authors: Loay A. Salman (14150322) (author), Abdallah Al‐Ani (23740011) (author), Ghalib Ahmed (14146800) (author)
Published: 2026
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author Seif B. Altahtamouni (22155577)
author2 Loay A. Salman (14150322)
Abdallah Al‐Ani (23740011)
Ghalib Ahmed (14146800)
author2_role author
author
author
author_facet Seif B. Altahtamouni (22155577)
Loay A. Salman (14150322)
Abdallah Al‐Ani (23740011)
Ghalib Ahmed (14146800)
author_role author
dc.creator.none.fl_str_mv Seif B. Altahtamouni (22155577)
Loay A. Salman (14150322)
Abdallah Al‐Ani (23740011)
Ghalib Ahmed (14146800)
dc.date.none.fl_str_mv 2026-02-19T09:00:00Z
dc.identifier.none.fl_str_mv 10.1002/jeo2.70427
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/The_accuracy_of_artificial_intelligence_in_3D_preoperative_planning_for_total_hip_arthroplasty_A_systematic_review_and_meta_analysis/32034057
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biomedical and clinical sciences
Clinical sciences
Engineering
Biomedical engineering
3D preoperative planning
artificial intelligence
implant sizing
surgical accuracy
total hip arthroplasty
dc.title.none.fl_str_mv The accuracy of artificial intelligence in 3D preoperative planning for total hip arthroplasty: A systematic review and meta‐analysis
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <h3 dir="ltr">Purpose</h3><p dir="ltr">This systematic review and meta‐analysis compare AI‐assisted 3‐dimensional (3D) preoperative planning in total hip arthroplasty (THA) to traditional 2‐dimensional (2D) templating.</p><h3 dir="ltr">Methods</h3><p dir="ltr">PubMed, Scopus, and Embase were searched from inception until October 2024 for studies on the accuracy of 3D preoperative planning in THA. Statistical analysis was performed using R (v4.3.3) with a random‐effects model due to high heterogeneity. Odds ratios with 95% confidence intervals were calculated for dichotomous outcomes. Heterogeneity was assessed using the I ² statistic, and publication bias was evaluated through funnel plots and Egger's test. The primary outcome was the accuracy of detecting acetabular cup and femoral stem size. This meta‐analysis followed PRISMA guidelines for systematic reviews.</p><h3 dir="ltr">Results</h3><p dir="ltr">Eight studies with 1371 participants from China were analysed. The mean age was 54.48 ± 12.98 years, and the mean BMI was 24.63 ± 3.73 kg/m². The Newcastle–Ottawa Scale (NOS) scores ranged from 6 to 9. The AI model effectively predicted acetabular cup and femoral stem sizes, with an odds ratio (OR) of 3.85 for the exact cup size (95% CI: 2.79–5.32; <i>p</i> < 0.0001) and an OR of 3.49 for predictions within one standard deviation (95% CI: 1.21–10.13; <i>p</i> = 0.0212). Heterogeneity was 42% and 81%, respectively. For the femoral stem, the AI achieved an OR of 3.28 for exact size predictions (95% CI: 2.56–4.22; <i>p</i> < 0.0001) and an OR of 5.35 for size within one standard deviation (95% CI: 3.84–7.45; <i>p</i> < 0.0001), with no significant heterogeneity ( <i>I²</i> = 0%).</p><h3 dir="ltr">Conclusion</h3><p dir="ltr">This meta‐analysis confirms that AI‐assisted 3D preoperative planning in THA provides better accuracy for predicting the acetabular cup and femoral stem sizes than traditional 2D templating methods. Further studies with larger sample sizes and more extended follow‐up periods across multiple countries are warranted to validate our findings.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: Journal of Experimental Orthopaedics<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/jeo2.70427" target="_blank">https://dx.doi.org/10.1002/jeo2.70427</a></p>
eu_rights_str_mv openAccess
id Manara2_148d30d815b3cd640f19d55e78fa9b4c
identifier_str_mv 10.1002/jeo2.70427
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/32034057
publishDate 2026
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rights_invalid_str_mv CC BY 4.0
spelling The accuracy of artificial intelligence in 3D preoperative planning for total hip arthroplasty: A systematic review and meta‐analysisSeif B. Altahtamouni (22155577)Loay A. Salman (14150322)Abdallah Al‐Ani (23740011)Ghalib Ahmed (14146800)Biomedical and clinical sciencesClinical sciencesEngineeringBiomedical engineering3D preoperative planningartificial intelligenceimplant sizingsurgical accuracytotal hip arthroplasty<h3 dir="ltr">Purpose</h3><p dir="ltr">This systematic review and meta‐analysis compare AI‐assisted 3‐dimensional (3D) preoperative planning in total hip arthroplasty (THA) to traditional 2‐dimensional (2D) templating.</p><h3 dir="ltr">Methods</h3><p dir="ltr">PubMed, Scopus, and Embase were searched from inception until October 2024 for studies on the accuracy of 3D preoperative planning in THA. Statistical analysis was performed using R (v4.3.3) with a random‐effects model due to high heterogeneity. Odds ratios with 95% confidence intervals were calculated for dichotomous outcomes. Heterogeneity was assessed using the I ² statistic, and publication bias was evaluated through funnel plots and Egger's test. The primary outcome was the accuracy of detecting acetabular cup and femoral stem size. This meta‐analysis followed PRISMA guidelines for systematic reviews.</p><h3 dir="ltr">Results</h3><p dir="ltr">Eight studies with 1371 participants from China were analysed. The mean age was 54.48 ± 12.98 years, and the mean BMI was 24.63 ± 3.73 kg/m². The Newcastle–Ottawa Scale (NOS) scores ranged from 6 to 9. The AI model effectively predicted acetabular cup and femoral stem sizes, with an odds ratio (OR) of 3.85 for the exact cup size (95% CI: 2.79–5.32; <i>p</i> < 0.0001) and an OR of 3.49 for predictions within one standard deviation (95% CI: 1.21–10.13; <i>p</i> = 0.0212). Heterogeneity was 42% and 81%, respectively. For the femoral stem, the AI achieved an OR of 3.28 for exact size predictions (95% CI: 2.56–4.22; <i>p</i> < 0.0001) and an OR of 5.35 for size within one standard deviation (95% CI: 3.84–7.45; <i>p</i> < 0.0001), with no significant heterogeneity ( <i>I²</i> = 0%).</p><h3 dir="ltr">Conclusion</h3><p dir="ltr">This meta‐analysis confirms that AI‐assisted 3D preoperative planning in THA provides better accuracy for predicting the acetabular cup and femoral stem sizes than traditional 2D templating methods. Further studies with larger sample sizes and more extended follow‐up periods across multiple countries are warranted to validate our findings.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: Journal of Experimental Orthopaedics<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/jeo2.70427" target="_blank">https://dx.doi.org/10.1002/jeo2.70427</a></p>2026-02-19T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1002/jeo2.70427https://figshare.com/articles/journal_contribution/The_accuracy_of_artificial_intelligence_in_3D_preoperative_planning_for_total_hip_arthroplasty_A_systematic_review_and_meta_analysis/32034057CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/320340572026-02-19T09:00:00Z
spellingShingle The accuracy of artificial intelligence in 3D preoperative planning for total hip arthroplasty: A systematic review and meta‐analysis
Seif B. Altahtamouni (22155577)
Biomedical and clinical sciences
Clinical sciences
Engineering
Biomedical engineering
3D preoperative planning
artificial intelligence
implant sizing
surgical accuracy
total hip arthroplasty
status_str publishedVersion
title The accuracy of artificial intelligence in 3D preoperative planning for total hip arthroplasty: A systematic review and meta‐analysis
title_full The accuracy of artificial intelligence in 3D preoperative planning for total hip arthroplasty: A systematic review and meta‐analysis
title_fullStr The accuracy of artificial intelligence in 3D preoperative planning for total hip arthroplasty: A systematic review and meta‐analysis
title_full_unstemmed The accuracy of artificial intelligence in 3D preoperative planning for total hip arthroplasty: A systematic review and meta‐analysis
title_short The accuracy of artificial intelligence in 3D preoperative planning for total hip arthroplasty: A systematic review and meta‐analysis
title_sort The accuracy of artificial intelligence in 3D preoperative planning for total hip arthroplasty: A systematic review and meta‐analysis
topic Biomedical and clinical sciences
Clinical sciences
Engineering
Biomedical engineering
3D preoperative planning
artificial intelligence
implant sizing
surgical accuracy
total hip arthroplasty